Turin, Italy

Akhmareh Alireza Ramezani


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Akhmareh Alireza Ramezani: Innovator in Capacitive Sensing Technology

Introduction

Akhmareh Alireza Ramezani is a notable inventor based in Turin, Italy. He has made significant contributions to the field of capacitive sensing technology. His innovative approach has led to the development of a unique patent that enhances the ability to localize objects within monitored spaces.

Latest Patents

Ramezani holds a patent for a "Capacitive sensor and method for sensing changes in a space." This invention involves a system designed to localize an object of interest in a monitored area. The system includes multiple capacitive sensors that interact with a ground surface in a contactless manner. These sensors detect changes in capacitance, which vary based on the status of the space. The invention also features a filtering unit that reduces noise levels in the capacitance signals, allowing for more accurate detection of an object's position.

Career Highlights

Ramezani is currently employed at Sisvel Technology S.r.l., where he continues to innovate in the field of sensor technology. His work focuses on developing advanced systems that improve the accuracy and efficiency of object localization. With a patent portfolio that includes 1 patent, Ramezani is recognized for his contributions to the industry.

Collaborations

Throughout his career, Ramezani has collaborated with esteemed colleagues such as Mihai Teodor Lazarescu and Luciano Lavagno. These partnerships have fostered a creative environment that encourages the exchange of ideas and technological advancements.

Conclusion

Akhmareh Alireza Ramezani is a prominent figure in the realm of capacitive sensing technology. His innovative patent and ongoing work at Sisvel Technology S.r.l. highlight his commitment to advancing this field. Ramezani's contributions are paving the way for future developments in object localization systems.

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